E-Commerce Big Data Mining and Analytics

Jie Cao (Autor)

Buch | Hardcover

203 Seiten

2023 | 2023 ed.
Springer Verlag, Singapore
978-981-99-3587-1 (ISBN)

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This book seeks to give readers with a preliminary but critical introduction and summary of e-commerce and big data analysis. This book introduces how to achieve data acquisition and pre-processing. Specifically, this book provides three representative and interesting scenarios to demonstrate the application of e-commerce and big data analysis, i.e., trajectory big data mining technology, e-commerce fraud and anti-fraud, and recommendation system. Also this book provides the basic and illustrative operation steps of python programming language for e-commerce and big data analysis. By reading this book, readers can learn the basic concepts and principles of e-commerce and big data analysis.

Jie Cao, born in 1969, received his Ph.D. degree in engineering from South-east University in 2002, Ph.D. supervisor, part-time doctoral supervisor of Nan-jing University of Science and Technology and Hohai University. He has pub-lished more than 100 papers in TKDE, TPDS, TKDD, TWeb, TCyb, TNNLS, TII, TIST, InfSci, KDD, ICDM and other domestic and international journals and con-ferences, and the total number of citations exceeds 5,000, among which more than 100 are indexed by SCI. He was appointed as an editorial board member of Neu-rocomputing and World Wide Web Journal.

Introduction to e-commerce big data mining and analytics.- Acquisition and preprocessing of e-commerce big data.- E-commerce trajectory big data mining technology.- Fraud and anti-fraud on e-commerce platform.- Design of recommendation system on e-commerce platform.- Case study.

Erscheinungsdatum	02.08.2023
Reihe/Serie	Advanced Studies in E-Commerce
Zusatzinfo	31 Illustrations, color; 21 Illustrations, black and white
Verlagsort	Singapore
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Mathematik / Informatik ► Informatik ► Datenbanken
	Informatik ► Office Programme ► Outlook
	Sozialwissenschaften
	Technik ► Maschinenbau
	Wirtschaft ► Allgemeines / Lexika
	Wirtschaft ► Betriebswirtschaft / Management ► Marketing / Vertrieb
Schlagworte	Big Data Mining and Analysis • Data acquisition • Data preprocessing • E-Commerce • E-commerce Fraud and Anti-fraud • Python Programming Language • recommendation system • Trajectory Big Data
ISBN-10	981-99-3587-3 / 9819935873
ISBN-13	978-981-99-3587-1 / 9789819935871
Zustand	Neuware